The Study on Enlarging Specific Extractor for Technology-Related Named Entity Extraction from Text Collections of Applied Mechanics Field

Abstract:

This paper presents additional linguistic factors that should be considered to more effectively extract terms from the machinery industry documents by augmenting the general extraction patterns. We expand on the general term extraction patterns with patterns that are tailored for machinery industry documents to improve precision and recall. We establish a theoretical basis for developing a system to support information research in the machinery industry. Using this system, we expect to increase the efficiency of new business planning process in the machine industry.

• Periodical: Applied Mechanics and Materials (Volume 145)
• Pages: 451-454
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.145.451
• Online since: December 2011
• Authors: Han Gi Kim, Kuk Jin Bae, Eun Sun Kim, Hyuk Hahn
• Keywords: Keyword Extraction, Pattern, Technical Term, Terminology Extraction, Text Mining

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